Mobility as a Service (MaaS) and Travel Behaviour Integrating Human Factors, Transport Planning and Engineering

Part One: Discover – Barriers and incentives

• Chapter One: Gender and Mobility as a Service: The State of the Art

Rich C. McIlroy

• Chapter Two: Insights from a Workplace Travel Survey

Rich C. McIlroy

• Chapter Three: Focus Groups on MaaS: Age, Gender and Place

Rich C. McIlroy and Katie McPeake

• Chapter Four: What Do People Want? A MaaS User Requirements Questionnaire

Rich C. McIlroy and Yuxie Xiao

• Chapter Five: Mobility Credits

Rich C. McIlroy

Part Two: Define – Iterative inclusive design

• Chapter Six: User Centred Ecological Interface Design

Joy McKay

• Chapter Seven: Designing MaaS Interfaces for Sustainable Travel: A Systems Thinking Approach Using Cognitive Work Analysis

Jisun Kim, Joy McKay and John Preston

• Chapter Eight: Heuristics Analysis

Joy McKay

• Chapter Nine: User Testing

Joy McKay and Em Thorogood

Part Three: Develop – Inclusivity and optimisation

• Chapter Ten: Accessible and Inclusive Mobility as a Service: A Multi-Criteria Decision-Making Evaluation Framework

Nima Dadashzadeh, Seda Sucu Sagmanli and Kate Pangbourne and Djamila Ouelhadj

• Chapter Eleven: Multi-Modal Journey Planning and Optimisation for MaaS

Christopher Bayliss and Djamila Ouelhadj

Part Four: Deliver – Travel behaviour change modelling, monitoring and evaluation

• Chapter Twelve: Mode Preference and Willingness to Pay for Single-Mode and Multi-Modal Journeys in the Solent Area

Nima Dadashzadeh, David Palma and Michiel Blieme et al 

• Chapter Thirteen: Travel Behaviour Analysis with Revealed Preference Data

Seda Sucu Sagmanli, Nazam Ali and Djamila Ouelhadj et al

• Chapter Fourteen: Travel Behaviour Change Insights from Focus Groups

Seda Sucu Sagmanli, Nima Dadashzadeh and Nazam Ali et al

• Chapter Fifteen: Mode Choice Analysis and Modal Shift of MaaS Users

Nazam Ali, Seda Sucu Sagmanli and Djamila Ouelhadj et al

• Chapter Sixteen: Mobility as a Service User Clustering Through Gaussian Mixture Modelling and Analysis of the Contributing Factors

Seda Sucu Sagmanli, Nazam Ali and Nima Dadashzadeh et al

• Chapter Seventeen: Explainable Machine Learning to Predict MaaS Users’ Mode Choices Between Private Car and Sustainable Transport

Nazam Ali, Djamila Ouelhadj, Seda Sucu Sagmanli and Nima Dadashzadeh et al

• Chapter Eighteen: Programme-Level Impact Evaluation

Adrian Hickford and Alan Wong

• Chapter Nineteen: Programme-Level Process Evaluation

Alan Wong and Adrian Hickford

• Chapter Twenty: Governance and Regulation

John Preston and Graham Fletcher

• Conclusions

John Preston and Djamila Ouelhadj

Biography

John Preston is a Professor in the Transportation Group at the University of Southampton, UK. He served as Head of Group from 2008–2011 and 2015–2020, and as Head of Academic Unit from 2011–2014. He is the Principal Investigator at Southampton for Theme 1 (Personal Mobility) of the Solent Future Transport Zone project (2020–2025). With over 400 publications spanning articles, book chapters, conference papers, and working papers, he has also successfully supervised approximately 40 doctoral students.

Djamila Ouelhadj is a Professor of Operational Research in the School of Computing, Mathematics, and Physics at the University of Portsmouth, UK. She chairs the Logistics, Operational and Analytics Research Group and directs the Intelligent Transport Research Cluster. She is the Principal Investigator at the University of Portsmouth for Theme 1 (Personal Mobility) and Theme 2 (Sustainable Urban Logistics) of the Solent Future Transport Zone Project (2020–2026). With 35 years of research experience in transport, operational research, computational intelligence, and analytics, she has authored over 300 publications in distinguished international journals, book chapters and refereed conference proceedings, and has successfully supervised around 30 PhD students.